Exploration of the application of did in metaverse medicine

The emergence of metaverse medicine has introduced critical challenges in patient identity management, data privacy, and cross-institutional data sharing. Decentralized identity (DID), a blockchain-based identity framework, provides a verifiable, trustworthy, and user-controlled solution for these challenges. This paper presents a systematic analysis of DID’s technical principles, architectural designs, and applications in healthcare, reviewing both international and domestic implementations. It further examines associated risks and challenges across technical, legal, ethical, and industrial dimensions. Future directions are discussed, including the integration of DID with privacy-preserving computing, digital twins, and AI healthcare assistants, the development of globally interoperable virtual hospital identity systems, multi-party governance models, and interdisciplinary research initiatives. The findings indicate that DID effectively addresses the triad of identity trustworthiness, privacy control, and data shareability, offering foundational support for the secure, compliant, and efficient advancement of metaverse medicine.

Key Words: decentralized identity (DID); privacy protection; data sharing; cross-institution interoperability; digital twin; multi-party governance